31.08.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.Data integrity across product/SKU specifications, customer hierarchies, logistics parameters, and supply chain locations. - Data Quality and Governance Creating schedules, data cleansing processes, and exception reporting to ensure the highest MDM standards
Zobacz później27.08.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.Forecasts), process their current orders, and work with the logistics team to make sure everything gets delivered on time. - be a problem- a customer has a question or an issue, you’re the one they’ll call. You’ll be the detective who finds the solution and works with other teams (like sales
Zobacz później06.08.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.With the logistics team to make sure everything gets delivered on time. - be a problem- a customer has a question or an issue, you’re the one they’ll call. You’ll be the detective who finds the solution and works with other teams (like sales or supply) to get it fixed fast. - build main
Zobacz później15.07.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.Written and spoken. - University degree or technical background (logistics, manufacturing, systems, or business is preferred). - Readiness to work 8-hour shifts scheduled between 0800 and 2400. What you can expect from us? - Employment contract, - Competitive base salary paired with bonus, - Hybrid
Zobacz później28.05.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.Forecasts), process their current orders, and work with the logistics team to make sure everything gets delivered on time. - be a problem-solver. If a customer has a question or an issue, you’re the one they’ll call. You’ll be the detective who finds the solution and works with other teams (like sales
Zobacz później18.03.2026 | Pełny etat | Warszawa | Randstad Polska Sp. z o.o.In this role, you will design and build autonomous AI agents that interact directly with business professionals (such as logistics managers, supply planners, and store employees), translating complex operational data into intuitive, automated, and human-friendly AI solutions. What we expect - Professional
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